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US FDA Process Validation Guidance
Presented by Marc Fini
21 May, 2013
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Slide 2 © PharmOut 2013
Validation
The risk based approach to validation must be used to determine:
What to validate
When to validate
How to validate
How much effort needs to be afforded
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Slide 3 © PharmOut 2013
US FDA Process Validation Guidance
The key messages within this document include:
Continuous improvement
The lifecycle approach to validation
Reduce variability
Continuous improvement
Alignment with the ICH Tripartite documents
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US FDA – data in a validation context
“The collection and evaluation of data, from the process design stage throughout production, which establishes scientific evidence that a process is capable of consistently delivering quality products.”
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US FDA Process Validation stages
Stage 1 Process Design
Stage 2 Process
Qualification
Stage 3 Continued Process
Verification
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Stage 1 Process Design
What is it?
• Define the commercial process
Considerations
• Design of Experiments
• Risk assessments
• Limit of failure testing
Outcomes
• The design of a process suitable for routine manufacture that will consistently deliver product that meets its critical quality attributes
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Process Design
Building process knowledge and understanding
Mechanisms for capturing knowledge must be formalised
Documentation and Pharmaceutical Quality Systems controls should
be in place whether GMP is required or not
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Process Design
Establishing a process control strategy
Identify critical variables from
process knowledge and understanding
Consider process variability and the controls to reduce
and/or adjust for this variability
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Process Design
Build and capture process knowledge and understanding
• Document the significant variables and the justification
Establish a strategy for process control
• Control mechanisms may include operational limits and in-process monitoring
Unit operation
Variable Rationale Variable Limits Monitoring
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Stage 2 Process qualification
What is it?
• Verification of the process design phase
• Verification and validation of components within the system
Considerations
• Commissioning and Qualification
• Validation as we understand it
• Equipment
Outcomes
• Confirmation of the process design as capable of reproducible commercial manufacture
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Process Qualification
Design of a facility and qualification of utilities and equipment
› The design of a facility is critical and is likely to impact every part of the process
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Process Qualification
Process Performance Qualification (PPQ)
This combines the facility, utilities, equipment and the
trained personnel with the likely commercial manufacturing
process, control strategies and components to manufacture
commercial batches
This process is likely to be heavily scrutinised and is a valauble opportunity to gain
knowledge
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Process Qualification
Process performance qualification
• What monitoring and testing should be sufficient to confirm product quality throughout the batch
PPQ protocol
• Specify the manufacturing parameters and limits
• Consider sampling
• Statistical analysis
PPQ protocol, execution and report
• Consider ‘normal’ manufacturing conditions
• Routine processes and interventions
Variable Monitoring
Limits Testing
Variable Monitoring Sampling
Limits Testing Analysis
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Stage 3 Continued Process Verification
What is it?
• Ongoing assurance that the process remains in a state of control during routine production
Considerations
• Data collection and evaluation from every batch
• Product quality reviews
• Data trends and statistical analysis
Outcomes
• Continuous improvement
• Knowledge
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Continued Process Verification
Continual assurance that the process remains in the validated state (or in control) during routine manufacture
An ongoing program to collect and analyse product and process
data must be established
Statistical analysis and trending of data
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Continued Process Verification
Words of wisdom
“Focussing exclusively on qualification efforts without also understanding the manufacturing
process and associated variations may not lead to adequate assurance of quality.”
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Continued Process Verification
Sampling and monitoring of data
• Collect and analyses production data to determine process capability and the impact of variables
Assessing and interpreting data
• Identify variability in the process
• Identify process improvements
Variable Limits Frequency Variable Monitoring In control
Limits Alert Review
Frequency Action Approval
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US FDA
Stage 1
• Identify sources of variability
Stage 2
• Control of variability
Stage 3
• Statistical evaluation of data
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US FDA
The terms IQ, OQ and PQ are not directly referenced in the US FDA Guidance document but if appropriate remain relevant
• Manufacturers can determine the terminology however the deliverables of the validation effort are clear
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US FDA
The matrix approach allows for grouping of similar products or processes into a consolidated effort
• Previous credible experience with sufficiently similar products and processes can be considered
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US FDA
Concurrent and Retrospective validation
• Least preferred mechanisms
Advantages may include experience with a process and
Quality Management Systems data
Disadvantages may include inadequate risk analysis and ‘blinkered vision’
?
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Summary
Identify the sources of variability
Use a risk based methodology to establish a control strategy
Implement mechanisms to monitor the ongoing performance of the product and the process